Dallas Stars
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	Ice Bats 27-22-6, 60pts	4	FINAL	7	Admirals 27-25-3, 57pts

Team Stats
OTW1	Streak	OTW1
17-9-2	Home Record	13-11-3
10-13-4	Home Record	14-14-0
2-7-1	Last 10 Games	8-1-1
5.51	Goals Per Game	5.00
5.62	Goals Against Per Game	5.09
21.71%	Power Play Percentage	22.30%
77.50%	Penalty Kill Percentage	75.00%

Lions
16-34-6, 38pts

FINAL

Ice Bats
27-22-6, 60pts

Team Stats
OTL1	Streak	OTW1
8-16-3	Home Record	17-9-2
8-18-3	Home Record	10-13-4
3-5-2	Last 10 Games	2-7-1
3.45	Goals Per Game	5.51
4.57	Goals Against Per Game	5.62
26.40%	Power Play Percentage	21.71%
78.76%	Penalty Kill Percentage	77.50%

Ice Bats
27-22-6, 60pts

Day 116

Lions
16-34-6, 38pts

Team Stats
OTW1	Streak	OTL1
17-9-2	Home Record	8-16-3
10-13-4	Away Record	8-18-3
2-7-1	Last 10 Games	3-5-2
5.51	Goals Per Game	3.45
5.62	Goals Against Per Game	3.45
21.71%	Power Play Percentage	26.40%
77.50%	Penalty Kill Percentage	78.76%

Canucks
31-21-4, 66pts

Day 118

Ice Bats
27-22-6, 60pts

Team Stats
W1	Streak	OTW1
16-10-2	Home Record	17-9-2
15-11-2	Away Record	10-13-4
7-3-0	Last 10 Games	2-7-1
3.29	Goals Per Game	5.51
3.04	Goals Against Per Game	5.51
26.32%	Power Play Percentage	21.71%
79.09%	Penalty Kill Percentage	77.50%

Ice Bats
27-22-6, 60pts

Day 120

Canucks
31-21-4, 66pts

Team Stats
OTW1	Streak	W1
17-9-2	Home Record	16-10-2
10-13-4	Away Record	15-11-2
2-7-1	Last 10 Games	7-3-0
5.51	Goals Per Game	3.29
5.62	Goals Against Per Game	3.29
21.71%	Power Play Percentage	26.32%
77.50%	Penalty Kill Percentage	79.09%

Team Leaders

Team Stats
Goals For 303 5.51 GFG	Shots For 2938 53.42 Avg	Power Play Percentage 21.7% 28 GF	Offensive Zone Start 42.0%
Goals Against 309 5.62 GAA	Shots Against 2567 46.67 Avg	Penalty Kill Percentage 77.5%% 27 GA	Defensive Zone Start 38.7%

Team Info
	General Manager	Graham Remocaldo
	Coach	Derian Hatcher
	Division	Pacific
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	16
	Farm Team	18
	Contract Limit	34 / 50
	Prospects	17

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Kevin Hayes	X		X		100.00	65	56	91	72	78	75	90	74	78	65	64	63	51	77	73	0	64	66	0	32	2	1,500,000$
2	Miles Wood		X			100.00	74	61	67	70	70	73	85	77	50	66	60	70	50	69	69	0	64	65	0	29	1	500,000$
3	Barrett Hayton	X	X			100.00	62	59	76	68	74	78	62	72	72	63	54	63	50	62	63	0	64	61	0	24	4	500,000$
4	Joel Kiviranta		X	X		100.00	72	55	88	68	65	66	71	72	50	60	50	69	50	67	68	0	64	61	0	28	2	500,000$
5	Nolan Foote		X			100.00	50	35	89	57	71	50	51	54	50	50	50	50	51	58	62	0	64	52	0	24	1	500,000$
6	Egor Afanasyev		X			100.00	55	35	89	57	76	50	52	50	50	50	50	50	50	58	60	0	64	51	0	24	2	500,000$
7	Jean-Luc Foudy	X				100.00	50	35	89	57	62	50	50	50	50	50	50	50	51	56	61	0	64	51	0	22	2	500,000$
8	Graeme Clarke			X		100.00	50	41	67	57	61	50	51	50	50	50	50	50	50	58	59	0	64	50	0	23	1	500,000$
9	Carson Soucy				X	100.00	74	59	84	63	76	70	65	61	50	54	50	73	55	73	74	0	64	64	0	30	4	750,000$
10	Logan Stanley				X	100.00	77	77	69	59	84	63	57	60	50	50	50	70	55	66	68	0	64	61	0	26	2	500,000$
11	Alexander Alexeyev				X	100.00	71	57	91	59	77	63	63	60	50	51	50	66	55	62	64	0	64	60	0	25	4	500,000$
12	Kale Clague				X	100.00	50	43	67	57	67	50	51	50	50	50	50	50	55	65	67	0	64	52	0	25	3	500,000$
13	Lucas Johansen				X	100.00	50	42	67	57	62	50	53	50	50	50	50	50	55	65	67	0	64	52	0	27	3	500,000$
14	Jack Thompson (R)				X	100.00	50	35	94	57	67	50	53	50	50	50	50	50	55	58	61	0	64	52	0	22	3	500,000$
15	Akito Hirose				X	100.00	50	35	94	57	59	50	51	50	50	50	50	50	55	64	65	0	64	51	0	25	4	500,000$
Scratches

	TEAM AVERAGE					100.00	60	48	81	61	70	59	60	59	53	54	52	58	53	64	65	0	64	57

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Pheonix Copley	100.00	50	64	60	77	53	50	50	50	50	50	59	74	74	0	78	56	0	33	2	500,000$
Scratches

	TEAM AVERAGE	100.00	50	64	60	77	53	50	50	50	50	50	59	74	74	0	78	56

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Derian Hatcher	85	90	95	85	60	70	1	USA	52	6	500,000$

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Akito Hirose	Ice Bats (DAL)	D	25	1999-04-09	CAN	No	170 Lbs	6 ft0	No	No	Free Agent		No	No	4	2024-09-03	False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Alexander Alexeyev	Ice Bats (DAL)	D	25	1999-11-15	RUS	No	213 Lbs	6 ft4	No	No	N/A		No	No	4	2024-08-14	False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Barrett Hayton	Ice Bats (DAL)	C/LW	24	2000-06-09	CAN	No	207 Lbs	6 ft1	No	No	N/A		No	No	4	2024-08-14	False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Carson Soucy	Ice Bats (DAL)	D	30	1994-07-27	CAN	No	208 Lbs	6 ft5	No	No	N/A		No	No	4	2024-08-29	False	False	Pro & Farm	750,000$	75,000$	25,714$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Egor Afanasyev	Ice Bats (DAL)	LW	24	2001-01-23	RUS	No	211 Lbs	6 ft4	No	No	Trade	2024-08-25	No	No	2		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Graeme Clarke	Ice Bats (DAL)	RW	23	2001-04-24	USA	No	175 Lbs	6 ft0	No	No	Free Agent		No	No	1	2024-09-03	False	False	Pro & Farm	500,000$	50,000$	17,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jack Thompson	Ice Bats (DAL)	D	22	2002-03-19	CAN	Yes	189 Lbs	6 ft1	No	No	N/A		No	No	3		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jean-Luc Foudy	Ice Bats (DAL)	C	22	2002-05-13	CAN	No	177 Lbs	5 ft11	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Joel Kiviranta	Ice Bats (DAL)	LW/RW	28	1996-03-23	FIN	No	185 Lbs	5 ft11	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Kale Clague	Ice Bats (DAL)	D	25	2000-01-21	USA	No	210 Lbs	6 ft5	No	No	N/A		No	No	3		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Kevin Hayes	Ice Bats (DAL)	C/RW	32	1992-05-08	USA	No	216 Lbs	6 ft5	No	No	N/A		No	No	2		False	False	Pro & Farm	1,500,000$	150,000$	51,429$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Logan Stanley	Ice Bats (DAL)	D	26	1998-05-26	CAN	No	231 Lbs	6 ft7	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Lucas Johansen	Ice Bats (DAL)	D	27	1997-11-16	CAN	No	176 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Miles Wood	Ice Bats (DAL)	LW	29	1995-09-13	USA	No	195 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Nolan Foote	Ice Bats (DAL)	LW	24	2000-11-29	USA	No	196 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Pheonix Copley	Ice Bats (DAL)	G	33	1992-01-18	USA	No	205 Lbs	6 ft4	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
16	26.19	198 Lbs	6 ft3	2.50	578,125$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Aces	4	0	2	0	0	2	0	0	12	18	-6	1	0	0	0	0	1	0	0	1	2	-1	3	0	2	0	0	1	0	0	11	16	-5	2	0.250	12	24	36	0	0	113	100	84	7	173	937	983	988	41	137	49	16	73	8	0	0.00%	7	3	57.14%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
2	Admirals	2	0	2	0	0	0	0	0	9	16	-7	1	0	1	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	9	17	26	0	0	113	100	84	7	126	937	983	988	41	113	46	8	72	2	1	50.00%	4	0	100.00%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
3	Americiens	2	0	2	0	0	0	0	0	8	15	-7	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	8	16	24	1	0	113	100	84	7	99	937	983	988	41	105	25	10	64	4	0	0.00%	5	1	80.00%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
4	Barracuda	2	1	1	0	0	0	0	0	7	12	-5	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	7	12	-5	2	0.500	7	14	21	0	0	113	100	84	7	113	937	983	988	41	106	24	12	50	4	1	25.00%	5	3	40.00%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
5	Broncos	2	1	0	0	0	0	0	1	10	10	0	1	1	0	0	0	0	0	0	6	5	1	1	0	0	0	0	0	0	1	4	5	-1	3	0.750	10	17	27	0	0	113	100	84	7	110	937	983	988	41	56	13	14	30	6	2	33.33%	7	1	85.71%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
6	Bruins	2	2	0	0	0	0	0	0	12	7	5	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	5	2	3	4	1.000	12	23	35	0	0	113	100	84	7	91	937	983	988	41	76	10	6	35	1	0	0.00%	3	0	100.00%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
7	Butter Knives	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	113	100	84	7	56	937	983	988	41	66	20	8	37	2	1	50.00%	4	2	50.00%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
8	Canucks	1	0	1	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	2	3	5	0	0	113	100	84	7	33	937	983	988	41	39	8	8	24	1	0	0.00%	4	1	75.00%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
9	Fighting Pandas	2	0	1	0	1	0	0	0	9	10	-1	1	0	0	0	1	0	0	0	6	5	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	9	17	26	0	0	113	100	84	7	90	937	983	988	41	69	23	6	41	6	0	0.00%	3	0	100.00%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
10	Firebirds	3	1	2	0	0	0	0	0	19	20	-1	2	1	1	0	0	0	0	0	14	13	1	1	0	1	0	0	0	0	0	5	7	-2	2	0.333	19	35	54	0	0	113	100	84	7	142	937	983	988	41	159	47	14	85	6	2	33.33%	7	4	42.86%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
11	Griffins	6	2	2	0	2	0	0	0	35	32	3	3	0	1	0	2	0	0	0	17	16	1	3	2	1	0	0	0	0	0	18	16	2	8	0.667	35	68	103	0	0	113	100	84	7	318	937	983	988	41	285	79	34	143	17	3	17.65%	17	1	94.12%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
12	Lions	5	1	2	0	1	0	1	0	23	24	-1	3	1	1	0	1	0	0	0	13	13	0	2	0	1	0	0	0	1	0	10	11	-1	6	0.600	23	43	66	0	0	113	100	84	7	239	937	983	988	41	163	51	23	104	15	0	0.00%	9	2	77.78%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
13	Lynx	2	1	0	0	0	1	0	0	10	10	0	1	1	0	0	0	0	0	0	5	4	1	1	0	0	0	0	1	0	0	5	6	-1	3	0.750	10	20	30	0	0	113	100	84	7	89	937	983	988	41	104	28	6	47	5	1	20.00%	3	0	100.00%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
14	Nordiks	4	3	1	0	0	0	0	0	28	24	4	3	3	0	0	0	0	0	0	21	16	5	1	0	1	0	0	0	0	0	7	8	-1	6	0.750	28	55	83	0	0	113	100	84	7	264	937	983	988	41	227	58	20	111	10	4	40.00%	8	0	100.00%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
15	Punishers	2	1	0	0	1	0	0	0	14	8	6	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	1	0	0	0	14	8	6	4	1.000	14	28	42	0	0	113	100	84	7	108	937	983	988	41	72	27	8	36	8	2	25.00%	4	1	75.00%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
16	Roadrunners	2	1	0	0	0	1	0	0	16	15	1	1	0	0	0	0	1	0	0	8	9	-1	1	1	0	0	0	0	0	0	8	6	2	3	0.750	16	32	48	0	0	113	100	84	7	116	937	983	988	41	104	31	6	48	3	1	33.33%	3	2	33.33%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
17	Tomahawks	4	2	2	0	0	0	0	0	28	24	4	1	1	0	0	0	0	0	0	8	6	2	3	1	2	0	0	0	0	0	20	18	2	4	0.500	28	53	81	0	0	113	100	84	7	233	937	983	988	41	236	58	28	103	8	3	37.50%	9	2	77.78%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
18	Wombats	3	1	2	0	0	0	0	0	19	21	-2	2	0	2	0	0	0	0	0	10	14	-4	1	1	0	0	0	0	0	0	9	7	2	2	0.333	19	36	55	0	0	113	100	84	7	151	937	983	988	41	146	37	12	76	8	1	12.50%	6	2	66.67%	1	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
19	Wranglers	6	4	1	0	0	1	0	0	38	30	8	5	4	1	0	0	0	0	0	32	23	9	1	0	0	0	0	1	0	0	6	7	-1	9	0.750	38	73	111	0	0	113	100	84	7	387	937	983	988	41	304	70	31	168	15	6	40.00%	12	2	83.33%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
	Total	55	21	22	0	5	5	1	1	303	309	-6	28	13	9	0	4	2	0	0	162	153	9	27	8	13	0	1	3	1	1	141	156	-15	60	0.545	303	582	885	1	0	113	100	84	7	2938	937	983	988	41	2567	704	270	1347	129	28	21.71%	120	27	77.50%	1	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
	_Since Last GM Reset	55	21	22	0	5	5	1	1	303	309	-6	28	13	9	0	4	2	0	0	162	153	9	27	8	13	0	1	3	1	1	141	156	-15	60	0.545	303	582	885	1	0	113	100	84	7	2938	937	983	988	41	2567	704	270	1347	129	28	21.71%	120	27	77.50%	1	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
	_Vs Conference	34	14	12	0	4	3	1	0	187	179	8	16	9	3	0	3	1	0	0	92	76	16	18	5	9	0	1	2	1	0	95	103	-8	41	0.603	187	361	548	0	0	113	100	84	7	1868	937	983	988	41	1569	424	180	812	86	19	22.09%	75	15	80.00%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323
	_Vs Division	15	8	7	0	3	0	1	0	95	87	8	8	5	2	0	3	0	0	0	50	44	6	7	3	5	0	0	0	1	0	45	43	2	24	0.800	95	183	278	0	0	113	100	84	7	852	937	983	988	41	730	198	77	366	36	8	22.22%	29	6	79.31%	0	1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%	1308	954	1358	370	660	323

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
55	60	OTW1	303	582	885	2938	2567	704	270	1347	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
55	21	22	5	5	1	1	303	309

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	13	9	4	2	0	0	162	153

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	8	13	1	3	1	1	141	156

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	7	1	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
129	28	21.71%	120	27	77.50%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
937	983	988	41	113	100	84	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1146	2416	47.43%	1024	2224	46.04%	534	1112	48.02%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1308	954	1358	370	660	323

Last Played Games Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2	8	Ice Bats	5	Griffins	7	L			BoxScore
3	18	Ice Bats	10	Tomahawks	4	W			BoxScore
4	22	Wranglers	3	Ice Bats	6	W			BoxScore
8	40	Wranglers	5	Ice Bats	10	W			BoxScore
10	53	Nordiks	6	Ice Bats	8	W			BoxScore
11	62	Ice Bats	4	Lions	6	L			BoxScore
13	75	Griffins	4	Ice Bats	5	W	X		BoxScore
15	83	Ice Bats	2	Aces	3	L			BoxScore
17	96	Ice Bats	5	Tomahawks	6	L			BoxScore
18	101	Ice Bats	7	Griffins	4	W			BoxScore
20	109	Lions	5	Ice Bats	3	L			BoxScore
22	126	Griffins	6	Ice Bats	7	W	X		BoxScore
24	137	Ice Bats	6	Wranglers	7	L	X		BoxScore
27	149	Tomahawks	6	Ice Bats	8	W			BoxScore
29	159	Wranglers	7	Ice Bats	3	L			BoxScore
33	178	Ice Bats	2	Aces	5	L			BoxScore
35	184	Broncos	5	Ice Bats	6	W			BoxScore
39	201	Americiens	7	Ice Bats	5	L			BoxScore
41	213	Ice Bats	7	Nordiks	8	L			BoxScore
43	222	Ice Bats	5	Bruins	2	W			BoxScore
45	231	Ice Bats	5	Tomahawks	8	L			BoxScore
46	237	Wranglers	2	Ice Bats	6	W			BoxScore
49	252	Butter Knives	6	Ice Bats	4	L			BoxScore
51	263	Ice Bats	6	Lions	5	W	X	X	BoxScore
53	272	Ice Bats	8	Roadrunners	6	W			BoxScore
54	281	Lions	4	Ice Bats	5	W			BoxScore
56	293	Ice Bats	7	Punishers	2	W			BoxScore
57	302	Aces	2	Ice Bats	1	L	X		BoxScore
60	317	Bruins	5	Ice Bats	7	W			BoxScore
63	331	Ice Bats	4	Barracuda	10	L			BoxScore
64	338	Ice Bats	7	Punishers	6	W	X		BoxScore
66	344	Griffins	6	Ice Bats	5	L			BoxScore
70	362	Nordiks	5	Ice Bats	6	W			BoxScore
72	373	Ice Bats	6	Griffins	5	W			BoxScore
74	382	Nordiks	5	Ice Bats	7	W			BoxScore
76	395	Ice Bats	9	Wombats	7	W			BoxScore
78	404	Ice Bats	4	Broncos	5	L	X	X	BoxScore
79	409	Lynx	4	Ice Bats	5	W			BoxScore
82	424	Ice Bats	3	Barracuda	2	W			BoxScore
84	430	Wranglers	6	Ice Bats	7	W			BoxScore
86	442	Ice Bats	5	Lynx	6	L	X		BoxScore
88	452	Fighting Pandas	5	Ice Bats	6	W	X		BoxScore
90	465	Ice Bats	7	Aces	8	L	X		BoxScore
91	475	Wombats	8	Ice Bats	6	L			BoxScore
93	485	Ice Bats	3	Fighting Pandas	5	L			BoxScore
95	496	Roadrunners	9	Ice Bats	8	L	X		BoxScore
98	514	Firebirds	6	Ice Bats	9	W			BoxScore
99	521	Ice Bats	5	Firebirds	7	L			BoxScore
101	533	Firebirds	7	Ice Bats	5	L			BoxScore
104	545	Ice Bats	2	Canucks	7	L			BoxScore
106	556	Ice Bats	3	Americiens	8	L			BoxScore
108	564	Wombats	6	Ice Bats	4	L			BoxScore
111	580	Admirals	9	Ice Bats	5	L			BoxScore
112	588	Ice Bats	4	Admirals	7	L			BoxScore
115	602	Lions	4	Ice Bats	5	W	X		BoxScore
116	612	Ice Bats	-	Lions	-
118	624	Canucks	-	Ice Bats	-
120	633	Ice Bats	-	Canucks	-
123	646	Punishers	-	Ice Bats	-
125	657	Ice Bats	-	Wranglers	-
127	666	Ice Bats	-	Marlies	-
129	675	Canucks	-	Ice Bats	-
131	689	Broncos	-	Ice Bats	-
133	699	Ice Bats	-	Griffins	-
Trade Deadline --- Trades can’t be done after this day is simulated!
137	714	Aces	-	Ice Bats	-
139	725	Ice Bats	-	Butter Knives	-
141	734	Ice Bats	-	Marlies	-
142	741	Tomahawks	-	Ice Bats	-
145	754	Marlies	-	Ice Bats	-
146	760	Ice Bats	-	Fighting Pandas	-
149	774	Ice Bats	-	Tomahawks	-
151	783	Barracuda	-	Ice Bats	-
153	791	Ice Bats	-	Wranglers	-
154	798	Ice Bats	-	Nordiks	-
156	809	Barracuda	-	Ice Bats	-
159	823	Ice Bats	-	Nordiks	-
160	832	Tomahawks	-	Ice Bats	-
163	847	Punishers	-	Ice Bats	-
164	851	Ice Bats	-	Barons	-
166	866	Ice Bats	-	Barons	-
169	878	Barons	-	Ice Bats	-
174	899	Barons	-	Ice Bats	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
13	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
936,445$	925,000$	925,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
925,000$	607,890$	16	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	60	8,143$	488,580$

Ice Bats Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Ice Bats Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Ice Bats Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Ice Bats Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Ice Bats Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Ice Bats
	GP: 55 \| W: 27 \| L: 22 \| OTL: 6 \| P: 60 GF: 303 \| GA: 309 \| PP%: 21.71% \| PK%: 77.50% GM : Graham Remocaldo \| Morale : 50 \| Team Overall : 57 Next Games #612 vs Lions